Gemini 3 Prompt Engineering Best Practices for Deep Think and New Capabilities

This course is your guide to calibrating your prompts to take full advantage of a model that can pause, plan, and verify its own work before responding. You'll move beyond simple instruction and learn how to structure queries that trigger high-level logic and complex problem-solving chains.

Inside, you'll dissect the difference between standard prompting and reasoning-based workflows. You'll practice techniques for tackling multi-step math problems, intricate coding architecture, and nuanced creative writing by guiding the model’s internal monologue. Learn exactly when to let the model "think" for longer and how to interpret its reasoning traces to verify accuracy.